I can’t think of any analytics tool that got me quite as excited this year as Adobe’s Customer Journey Analytics, especially with the recent addition of Derived Fields. While there are some features still missing from Adobe Analytics, it should become more and more clear that CJA is already superior to the vast majority of the market. While I’ve already done an extensive series of posts on how to get started with CJA for a website and exploring the mobile AEP SDK, the new tool brings up many, many questions around setup, admin, and implementation. While the interface for business users is the familiar Analysis Workspace-democratization-paradise, all of the new and shiny capabilities invite us to re-think how we provide analytics capabilities to our companies. In this post, I want to take a look at an evergreen of digital analytics: Form tracking! Unperturbed by any recent trends, websites like to […]
Month: October 2023
Marketing Channels just got so much better in Adobe Customer Journey Analytics
Like it or not, but analyzing marketing performance is a key requirement for any digital analytics solution. Even solutions that try to find a niche by self-branding themselves as “product analytics” tools have some more-or-less developed feature to analyze marketing performance. In Adobe Analytics, we can use the Marketing Channels feature to analyze where the traffic on our website is coming from. So far, so neat! However, Marketing Channels in Adobe Analytics have one big drawback: They rely on comparatively simple Processing Rules. In those Processing Rules, we have to find a way to identify traffic for a given channel only by using what is available during data collection. Many customers use the Tracking Code dimension to achieve that, forcing them to use campaign codes like “searchads-123” to identify traffic from paid search ads. In the Processing Rules, they would then configure a rule like this to identify SEA traffic: […]